Projects

MACHINE LEARNING PROJECTS

  • Machine Learning and Prediction of Masked Motors With Different Materials Based on Noise Analysis
  • Machine LearningBased Urban Canyon Path Loss Prediction Using 28 GHz Manhattan Measurements
  • An Efficient Machine Learning Enabled NonDestructive Technique for Remote Monitoring of Sugarcane Crop Health
  • Machine Learning Based Identification and Classification of FieldOperation Caused Solar Panel Failures Observed in Electroluminescence Images
  • A MachineLearning Approach for the Exemplar Extraction of mmWave Industrial Wireless Channels
  • Machine Learning Approaches for Reconfigurable Intelligent Surfaces A Survey
  • Machine LearningBased Continuous Intracranial Pressure Prediction for Traumatic Injury Patients
  • Machine Learning and Signal Processing Based Analysis of sEMG Signals for Daily Action Classification
  • Identification and Classification of Mechanical Damage During Continuous Harvesting of Root Crops Using Computer Vision Methods
  • Incremental Learning With OpenSet Recognition for Remote Sensing Image Scene Classification
  • An Automatic Detection of Breast Cancer Diagnosis and Prognosis Based on Machine Learning Using Ensemble of Classifiers
  • Antimicrobial Resistance and Machine Learning Challenges and Opportunities
  • Machine Learning With Variational AutoEncoder for Imbalanced Datasets in Intrusion Detection
  • Pick Quality Over Quantity Expert Feature Selection and Data Preprocessing for 80211 Intrusion Detection Systems
  • A MachineLearningBased Fault Diagnosis Method With Adaptive Secondary Sampling for Multiphase Drive Systems
  • Machine LearningBased Estimation of PM25 Concentration Using Ground Surface DoFP Polarimeters
  • Using Machine Learning to Identify Organ System Specific Limitations to Exercise via Cardiopulmonary Exercise Testing
  • Fast and Accurate Machine Learning Compact Models for Interconnect Parasitic Capacitances Considering Systematic Process Variations
  • Machine Learning Models for Traffic Classification in Electromagnetic NanoNetworks/li>
  • Machine Learning Approaches and Applications in Genome Wide Association Study for Alzheimers Disease A Systematic Review
  • Machine LearningBased Matching Medium Design for Implant Communications
  • Residential Electricity Rate Plans and Their Selections Based on Statistical Learning
  • Machine Learning Methods for Forest Image Analysis andClassification A Survey of the State of the Art
  • MachineLearning Based Monitoring of Cognitive Workload in Rescue Missions With Drones
  • Machine Learning in Precision Agriculture A Survey on Trends Applications and Evaluations Over Two Decades